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Dataset Information

Development of a predictive model for radiation pneumonitis based on plasma exosomal miR-200b-5p.


ABSTRACT:

Objective

This study aims to explore the association between plasma exosomal miRNAs and the development of radiation pneumonitis (RP) in non-small cell lung cancer (NSCLC) patients who underwent radiotherapy, and develop a predictive model for symptomatic radiation pneumonitis (SRP) by integrating miRNA expression levels with clinical and dosimetric parameters.

Methods

A total of 95 NSCLC patients, who were scheduled to receive definitive radiotherapy, were prospectively enrolled. Plasma exosomes were collected before the radiotherapy, and high-throughput sequencing followed by bioinformatics analysis was performed to identify the candidate miRNAs associated to SRP. Then, the expression levels of these miRNAs were validated using RT-qPCR. Afterwards, a predictive model for S

SUBMITTER: Zhai S 

PROVIDER: S-EPMC12405333 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature